Senior Data & AI Engineer for Enterprise AI & MLOps

6090-Johnson & Johnson Services Inc. Legal Entity; Raritan (NJ); On-site; USD 94,000 - 152,000; Full time

Job summary

Johnson & Johnson is seeking a Senior Data & Applied AI Engineer to design, build, and scale enterprise data products and AI solutions across cloud-native platforms. You will lead data pipelines, model operationalization, and secure integrations, mentoring engineers while partnering with data scientists and stakeholders.

The role emphasizes MLOps, Azure cloud services, and modern data engineering practices, with travel up to 5% as needed to collaborate across regions and teams.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.
• 6+ years of engineering experience delivering enterprise-scale data, AI, or cloud platforms.
• Proficiency in Python, PySpark, SQL, and distributed data-processing patterns.
• Hands-on experience with Databricks, Azure Data Factory, data lakehouse architectures, and Azure cloud data services.
• Experience designing batch and streaming data pipelines, reusable data products, and analytical models.
• Strong understanding of data quality, metadata, lineage, governance, and security.
• Experience developing or integrating applied AI or Generative AI solutions, including LLM-enabled apps.
• Experience operationalizing AI/ML workloads, with automated deployment and governance.

Responsibilities

• Design, build, and optimize scalable batch and streaming data pipelines.
• Develop governed data products and analytical datasets for enterprise reporting and AI use cases.
• Design and implement AI and Generative AI solutions, including retrieval, orchestration, and evaluation.
• Build and operate MLOps capabilities for model development, deployment, monitoring, and governance.
• Define data architecture, quality, metadata, observability, security, and performance standards.
• Develop cloud-native platform services and APIs to expose data and AI capabilities.
• Build full-stack applications using TypeScript, React, Node.js as needed to operationalize AI solutions.
• Create reusable platform components, libraries, templates, and CLI tools.
• Maintain CI/CD pipelines and infrastructure-as-code.

Skills

Python

PySpark

SQL

Data engineering

MLOps

Cloud-native

APIs

AI/Generative AI

Docker

Kubernetes

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

Databricks

Azure Data Factory

Azure cloud services

Docker

Kubernetes

Job description

Johnson & Johnson is seeking a Senior Data & Applied AI Engineer to design, build, and scale enterprise data products and AI solutions across cloud-native platforms. You will lead data pipelines, model operationalization, and secure integrations, mentoring engineers while partnering with data scientists and stakeholders.

The role emphasizes MLOps, Azure cloud services, and modern data engineering practices, with travel up to 5% as needed to collaborate across regions and teams.